recipe feems

Fast Estimation of Effective Migration Surfaces

Homepage:

https://github.com/NovembreLab/feems

License:

MIT

Recipe:

/feems/meta.yaml

A python package implementing a statistical method for inferring and visualizing gene-flow in spatial population genetic data

package feems

versions:

1.0.0-0

depends cartopy:

0.18.*

depends fiona:

depends matplotlib-base:

depends msprime:

depends networkx:

depends numpy:

depends pyproj:

depends python:

3.9.*

depends scikit-learn:

depends scikit-sparse:

0.4.*

depends suitesparse:

5.7.*

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install feems

and update with::

   mamba update feems

To create a new environment, run:

mamba create --name myenvname feems

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/feems:<tag>

(see `feems/tags`_ for valid values for ``<tag>``)

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